Evidence map›Paper›PMID 29402249›Full record

ArticleBMC cancer2018

A web tool for designing and conducting phase I trials using the continual reassessment method.

Nolan A Wages, Gina R Petroni

Abstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. A Road Map for Designing Phase I Clinical Trials of Radiotherapy-Novel Agent Combinations.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Review
  4. Article
  5. Article
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  10. Article
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  12. Article
  13. The Impact of Early-Phase Trial Design in the Drug Development Process.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nolan A WagesDivision of Translational Research & Applied Statistics, Department of Public Health Sciences, University of Virginia, P.O. Box 800717, Charlottesville, VA, USA. nwages@virginia.edu.
Gina R PetroniDivision of Translational Research & Applied Statistics, Department of Public Health Sciences, University of Virginia, P.O. Box 800717, Charlottesville, VA, USA.

Funding

Designs for phase I trials of combinations of agentsR01CA142859 · NCI · UNIVERSITY OF VIRGINIA · PI CONAWAY, MARK R · 2010 to 2017
$2.1M
Phase I Designs for Combined Immunotherapies in CancerK25CA181638 · NCI · UNIVERSITY OF VIRGINIA · PI WAGES, NOLAN · 2014 to 2018
$780k
NCI NIH HHS K25 CA181638NCI NIH HHS K25CA181638NCI NIH HHS R01 CA142859NCI NIH HHS R01CA142859
6 · The paper itself

Abstract

backgroundBroad implementation of model-based dose-finding methods, such as the continual reassessment method (CRM), has been limited, with traditional or modified 3 + 3 designs remaining in frequent use. Part of the reason is the lack of reliable, easy-to-use, and robust software tools for designing and implementing more efficient designs.

resultsWith the aim of augmenting broader implementation of model-guided methods, we have developed a web application for the Bayesian CRM in the R programming language using the Shiny package. The application has two components, simulation and implementation. Within the application, one has the ability to generate simulated operating characteristics for the study design phase, and to sequentially provide the next dose recommendation for each new accrual or cohort based on the current data for the study implementation phase. At the conclusion of the study, it can be used to estimate the maximum tolerated dose (MTD). The web tool requires no programming knowledge, and it is free to access on any device with an internet browser.

conclusionsThe application provides the type of simulation information that aid clinicians and reviewers in understanding operating characteristics for the accuracy and safety of the CRM, which we hope will augment phase I trial design. We believe that the development of this software will facilitate more efficient collaborations within study teams conducting single-agent dose-finding trials.

Indexed as

InternetResearch DesignSoftwareBayes TheoremClinical Trials, Phase I as TopicComputer SimulationHumansOutcome Assessment, Health CareClinical trialsContinual reassessment methodDose-findingPhase IWeb application

Identifiers

PMID29402249
PMCPMC5799912

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.